Ethan Bosacker

P Omaha Storm Chasers

Age 26 RHP 6'2" / 210 lbs AAA

Overview

AAAPROSPECT

ETA2028MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	24	18	125	2.45	2.73	19.5%	5.5%	—	K 14.6% · BB 6.4% · FIP 3.39
2025	24	MIX2 levels	28	15	109	4.05	4.63	13.9%	9.2%	—	K 11.4% · BB 9.6% · FIP 5.08
2026	25	MIX2 levels	29	7	63	5.31	4.86	16.4%	11.6%	—	K 14.0% · BB 10.6% · FIP 4.92
2027PROJ	26	MLBKC	67	0	70	5.64	5.64	11.0%	11.3%	-0.8
2028PROJ43% MLB	27	MLBKC	39	0	41	5.52	5.54	12.1%	11.1%	-0.4
2029PROJ63% MLB	28	MLBKC	56	0	59	5.48	5.52	12.7%	10.9%	-0.6

Next 3 projected WAR -1.9Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control50Command30

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 97%

CompsDennis O'Grady (age 26) · Mike Connolly (age 26) · Cooper Adams (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 140132vR 124

ERA5.64

FIP5.64

K%11.0%

BB%11.3%

K-BB%-0.3%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL5050

CMD3030

K†3030

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2023	22	ROK MLE	ACL Royals	2	0	2	10	2	1	0	0%	0.8	20.0%	10.0%	10.0%	0.0%	10.80	2.68	—
2023	22	ROK RAW	ACL Royals	2	0	2	10	2	1	0	0%	0.8	20.0%	10.0%	10.0%	0.0%	10.80	2.50	—
2024	23	MIX MLE	2 levels	24	18	125	493	96	27	5	75%	5.2	14.6%	6.4%	8.2%	1.3%	2.45	3.39	—
2024	23	MIX MLE	2 levels	24	18	125	493	96	27	5	75%	5.2	14.6%	6.4%	8.2%	1.3%	2.45	3.39	—
2024	23	MIX RAW	2 levels	24	18	125	493	96	27	5	75%	5.2	19.5%	5.5%	14.0%	1.0%	2.45	2.73	—
2025	24	MIX MLE	2 levels	28	15	109	459	64	42	13	54%	3.9	11.4%	9.6%	1.8%	3.1%	4.05	5.08	—
2025	24	MIX MLE	2 levels	28	15	109	459	64	42	13	54%	3.9	11.4%	9.6%	1.8%	3.1%	4.05	5.08	—
2025	24	MIX RAW	2 levels	28	15	109	459	64	42	13	54%	3.9	13.9%	9.2%	4.8%	2.8%	4.05	4.63	—
2026	25	MIX MLE	2 levels	29	7	63	292	48	34	8	24%	2.2	14.0%	10.6%	3.4%	3.0%	5.31	4.92	—
2026	25	MIX MLE	2 levels	29	7	63	292	48	34	8	24%	2.2	14.0%	10.6%	3.4%	3.0%	5.31	4.92	—
2026	25	MIX RAW	2 levels	29	7	63	292	48	34	8	24%	2.2	16.4%	11.6%	4.8%	2.7%	5.31	4.86	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	KC	67	0	70	296	33	34	9	0%	1.0	11.0%	11.3%	-0.3%	3.0%	5.64	5.64	-0.8
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	KC	92	0	97	408	49	45	12	0%	1.1	12.1%	11.1%	1.0%	3.1%	5.52	5.54	-1.0
2029	28	MLB MLE	KC	89	0	94	396	50	43	12	0%	1.1	12.7%	10.9%	1.8%	3.2%	5.48	5.52	-1.0
2030	29	MLB MLE	KC	85	0	90	378	49	42	12	0%	1.1	13.0%	11.0%	1.9%	3.3%	5.52	5.59	-1.0
2031	30	MLB MLE	KC	80	0	84	355	46	40	12	0%	1.1	12.8%	11.2%	1.6%	3.5%	5.63	5.73	-1.1
2028	27	MLB CTX	KC	39	0	41	173	21	19	5	0%	1.1	12.1%	11.1%	1.0%	3.1%	5.52	5.54	-0.4
2029	28	MLB CTX	KC	56	0	59	249	32	27	8	0%	1.1	12.7%	10.9%	1.8%	3.2%	5.48	5.52	-0.6
2030	29	MLB CTX	KC	62	0	65	274	36	30	9	0%	1.0	13.0%	11.0%	1.9%	3.3%	5.52	5.59	-0.7
2031	30	MLB CTX	KC	64	0	67	283	36	32	10	0%	1.0	12.8%	11.2%	1.6%	3.5%	5.63	5.73	-0.8
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		221	0	232	979	124	108	32	0%	1.0	12.7%	11.1%	1.6%	3.3%	5.54	5.23	-1.8
/ 200 IP	—	RAW		190	0	200	844	107	93	28	0%	1.1	12.7%	11.1%	1.6%	3.3%	5.54	5.23	-1.6
Career	—	MLE		83	40	298	1254	168	108	30	48%	3.6	13.4%	8.6%	4.8%	2.4%	3.68	4.36	-4.3
/ 200 IP	—	MLE		56	27	200	842	112	72	20	48%	3.6	13.4%	8.6%	4.8%	2.4%	3.68	4.36	-2.4

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Ethan Bosacker (OGILVIE)	—	—	5.64	11.0%	11.3%	3.0%	—	5.55	12.6%	1.6%	280	-0.09	—	—	—
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	86
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	83
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	82
Alfonso Sanchez R 2015 · 4.96 FIP	27	SP-	4.96	12.5%	9.1%	3.2%	.346	4.85	14.0%	5.3%	138	-0.11	4.51	224	81
Nolan Sanburn R 2017 · 4.55 FIP	26	SW	4.55	15.0%	10.4%	2.5%	.310	—	—	—	—	—	3.82	169	81
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	79
Cullen Kafka R 2023 · 4.95 FIP	24	SW	4.95	14.2%	12.1%	2.8%	.330	—	—	—	—	—	3.64	148	78
Luis Niebla R 2017 · 5.12 FIP	26	SP-	5.12	11.6%	13.2%	2.4%	.336	—	—	—	—	—	3.37	156	78
Victor Santos R 2003 · 5.99 FIP	26	SP-	5.99	12.8%	12.8%	4.3%	.293	4.38	15.4%	7.7%	411	-1.61	4.09	602	77
Robbie Peto R 2023 · 5.75 FIP	25	SW	5.75	15.3%	13.4%	4.1%	.325	—	—	—	—	—	5.39	232	77
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	76
Edgar Alberto Garcia R 2015 · 5.24 FIP	27	SP-	5.24	11.6%	9.8%	3.4%	.263	4.28	15.3%	5.2%	167	-0.96	4.01	272	76
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	76
Mike McCarthy R 2015 · 4.78 FIP	27	SP-	4.78	9.4%	9.1%	2.4%	.280	5.03	6.2%	-3.5%	37	+0.25	4.78	153	76
Adam Panayotovich R 2017 · 5.45 FIP	25	SP-	5.45	9.6%	9.0%	3.7%	.375	—	—	—	—	—	3.50	121	76
Logan Verrett R 2016 · 5.19 FIP	26	SW	5.19	15.4%	10.6%	3.7%	.283	4.65	17.8%	11.8%	94	-0.54	3.81	550	75
Paulshawn Pasqualotto R 2024 · 4.84 FIP	23	SW	4.84	15.6%	9.5%	3.4%	.354	3.77	20.2%	10.8%	111	-1.07	3.73	186	75
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	75
Jose Reyes R 2016 · 5.11 FIP	25	SW	5.11	11.0%	8.2%	3.5%	.308	—	—	—	—	—	4.25	225	75
Tom Reisinger R 2024 · 5.44 FIP	23	SW	5.44	12.1%	14.6%	2.8%	.381	6.49	10.3%	-5.6%	47	+1.05	5.44	110	74

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 3,327 pitcher careers (1,251 from 1990-2025 + 2,076 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	2.2	87	12.4%	11.1%	1.24	5.55
Jesse Winters ('19-'23, -2 WAR*)	2.0	81	13.7%*	11.0%*	1.29*	5.12*
Gary Knotts ('04)	1.3	89	13.5%	10.2%	1.38	5.45
Galen Cisco ('61-'69, -2 WAR*)	3.3	94	14.7%*	10.4%*	1.22*	5.30*
Claude Willoughby ('25-'31, -3 WAR*)	4.2	120	11.9%*	11.3%*	1.16*	5.28*
Rick Krivda ('98)	1.3	65	14.3%	10.1%	1.36	5.57
Wes Obermueller ('07)	1.6	79	11.4%	9.7%	1.20	5.82